fitPsModel: Calculate propensity scores for a specific outcome

In OHDSI/RiskStratifiedEstimation: Risk Stratified Effect Estimation

Calculate propensity scores for a specific outcome

Description

Fits a large-scale regularized regression model to estimate propensity scores within predicted risk strata. Designed to be applied in a parallelized analysis.

Usage

fitPsModel(
  outcomeId,
  initialPopulation,
  runSettings,
  getDataSettings,
  populationSettings,
  analysisSettings
)

Arguments

outcomeId	The outcome of interest for which the esitmation is performed. That is the outcome for which risk stratification is performed.
initialPopulation	The initial population on the subset of which the propensity scores will be estimated.
runSettings	An R object of type runSettings created using the function createRunSettings.
getDataSettings	An R object of type getDataSettings created using the function createGetDataSettings.
populationSettings	An R object of type populationSettings created using the function createPopulationSettings.
analysisSettings	An R object of type analysisSettings created using the function createAnalysisSettings.

Value

NULL. The results are all saved.

OHDSI/RiskStratifiedEstimation documentation built on March 13, 2023, 8:16 a.m.